UM-Flint Computer Science and Computer Information Systems

Join us in congratulating Dr. Halil Bisgin for the acceptance and upcoming publication of his paper, "Predicting App Intrusiveness Using LSTM Networks to Analyze App Descriptions" in the Future Technologies Conference (FTC) for November 2020!

Interested in finding out more? Review his abstract below and stay tuned for publication!

"Mobile apps are at the center of everyone's daily lives and users give them access to their intimate personal data. Therefore, it is important to develop methods for figuring out how much an app can detect and collect from its users, and whether that access is in line with their expectations of privacy. Several methods have been devised to determine app intrusiveness, including analysis of their descriptions and conformity with their programmed behavior. Most of the existing approaches depend on static analysis that is not easily done on the go. We propose a novel method to use Artificial Intelligence to read an app's description, and determine whether it is an intrusive app or not. Our study used an LSTM network to analyze the descriptions, along with a multi-layer perceptron (MLP) network to process hints provided by other app features. The ultimate goal is to allow users to determine on the spot whether an app is too intrusive before downloading and installing it on their mobile device. Our study found that there is a significant correlation between the description and the level of intrusiveness of an app."

Ever wonder what you can do with a degree in computer science or computer information systems?

Check out Dr. Halil Bisgin's recent research in the use of artificial intelligence to study diseases with Beaumont Health and food contamination with the Food & Drug Administration! https://bit.ly/2AmQtPR